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/*
* Licensed to Elasticsearch under one or more contributor
* license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright
* ownership. Elasticsearch licenses this file to you under
* the Apache License, Version 2.0 (the "License"); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package org.elasticsearch.search.aggregations.bucket.significant.heuristics;
import org.elasticsearch.ElasticsearchParseException;
import org.elasticsearch.common.io.stream.StreamInput;
import org.elasticsearch.common.io.stream.StreamOutput;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.common.xcontent.XContentParser;
import org.elasticsearch.index.query.QueryShardException;
import java.io.IOException;
public class GND extends NXYSignificanceHeuristic {
public static final String NAME = "gnd";
public GND(boolean backgroundIsSuperset) {
super(true, backgroundIsSuperset);
}
/**
* Read from a stream.
*/
public GND(StreamInput in) throws IOException {
super(true, in.readBoolean());
}
@Override
public void writeTo(StreamOutput out) throws IOException {
out.writeBoolean(backgroundIsSuperset);
}
@Override
public boolean equals(Object other) {
if (!(other instanceof GND)) {
return false;
}
return super.equals(other);
}
@Override
public int hashCode() {
int result = NAME.hashCode();
result = 31 * result + super.hashCode();
return result;
}
/**
* Calculates Google Normalized Distance, as described in "The Google Similarity Distance", Cilibrasi and Vitanyi, 2007
* link: http://arxiv.org/pdf/cs/0412098v3.pdf
*/
@Override
public double getScore(long subsetFreq, long subsetSize, long supersetFreq, long supersetSize) {
Frequencies frequencies = computeNxys(subsetFreq, subsetSize, supersetFreq, supersetSize, "GND");
double fx = frequencies.N1_;
double fy = frequencies.N_1;
double fxy = frequencies.N11;
double N = frequencies.N;
if (fxy == 0) {
// no co-occurrence
return 0.0;
}
if ((fx == fy) && (fx == fxy)) {
// perfect co-occurrence
return 1.0;
}
double score = (Math.max(Math.log(fx), Math.log(fy)) - Math.log(fxy)) /
(Math.log(N) - Math.min(Math.log(fx), Math.log(fy)));
//we must invert the order of terms because GND scores relevant terms low
score = Math.exp(-1.0d * score);
return score;
}
@Override
public String getWriteableName() {
return NAME;
}
@Override
public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
builder.startObject(NAME);
builder.field(BACKGROUND_IS_SUPERSET.getPreferredName(), backgroundIsSuperset);
builder.endObject();
return builder;
}
public static final SignificanceHeuristicParser PARSER = new NXYParser() {
@Override
protected SignificanceHeuristic newHeuristic(boolean includeNegatives, boolean backgroundIsSuperset) {
return new GND(backgroundIsSuperset);
}
@Override
public SignificanceHeuristic parse(XContentParser parser) throws IOException, QueryShardException {
String givenName = parser.currentName();
boolean backgroundIsSuperset = true;
XContentParser.Token token = parser.nextToken();
while (!token.equals(XContentParser.Token.END_OBJECT)) {
if (BACKGROUND_IS_SUPERSET.match(parser.currentName(), parser.getDeprecationHandler())) {
parser.nextToken();
backgroundIsSuperset = parser.booleanValue();
} else {
throw new ElasticsearchParseException("failed to parse [{}] significance heuristic. unknown field [{}]", givenName, parser.currentName());
}
token = parser.nextToken();
}
return newHeuristic(true, backgroundIsSuperset);
}
};
public static class GNDBuilder extends NXYBuilder {
public GNDBuilder(boolean backgroundIsSuperset) {
super(true, backgroundIsSuperset);
}
@Override
public XContentBuilder toXContent(XContentBuilder builder, Params params) throws IOException {
builder.startObject(NAME);
builder.field(BACKGROUND_IS_SUPERSET.getPreferredName(), backgroundIsSuperset);
builder.endObject();
return builder;
}
}
}